Abstract:This study proposes a method for the classification of lithic raw materials by means of hyperspectral imaging, a non-destructive fast analytical technique. The information potential of this approach was tested on a dwelling site dated to mid-late Mesolithic (7200-5800 BP) at Lillsjön, Ångermanland, Sweden. A dataset of lithic tools and flakes (2612 objects) made of quartz and quartzite, was analyzed using a shortwave infrared hyperspectral imaging system. The classification of the raw materials was performed a… Show more
“…These features are all the result of overtones and vibration combinations of OH groups, with the two first peaks at 1 400 nm and 1 900 nm being indicative of molecular water (Fig. 4) (Hunt, 1977: 508-510;Sciuto et al, 2019). Hydroxyl (OH) groups can produce a response in a number of different fields in the same material, with metal-OH combinations occurring in the 2 000 nm − 2 500 nm region.…”
Section: Near Infrared Spectroscopy (Nirs)mentioning
“…These features are all the result of overtones and vibration combinations of OH groups, with the two first peaks at 1 400 nm and 1 900 nm being indicative of molecular water (Fig. 4) (Hunt, 1977: 508-510;Sciuto et al, 2019). Hydroxyl (OH) groups can produce a response in a number of different fields in the same material, with metal-OH combinations occurring in the 2 000 nm − 2 500 nm region.…”
Section: Near Infrared Spectroscopy (Nirs)mentioning
“…This potential volatility in composition can both hinder and facilitate the identification of distinct geochemical groups through XRF. In some cases, metamorphic rocks are too chemically homogenous over large areas or too chemically heterogeneous within individual outcrops to be usefully distinguished, while in others, chemical signatures are patterned enough to effectively isolate discrete clusters (Church, 1996;Schneider, 2007;Pitblado et al, 2008;Blomme and Degryse, 2012;Sciuto et al, 2019). Previous attempts to source metamorphic rocks with XRF employ a variety of lab-based and portable instrumentation.…”
The invention and proliferation of stone tool technology in the Early Stone Age (ESA) marks a watershed in human evolution. Patterns of lithic procurement, manufacture, use, and discard have much to tell us about ESA hominin cognition and land use. However, these issues cannot be fully explored outside the context of the physical attributes and spatio-temporal availability of the lithic raw materials themselves. The Olduvai Basin of northern Tanzania, which is home to both a wide variety of potential toolstones and a rich collection of ESA archaeological sites, provides an excellent opportunity to investigate the relationship between lithic technology and raw material characteristics. Here, we examine two attributes of the basin's igneous and metamorphic rocks: spatial location and fracture predictability. A total of 244 geological specimens were analyzed with non-destructive portable XRF (pXRF) to determine the geochemical distinctiveness of five primary and secondary sources, while 110 geological specimens were subjected to Schmidt rebound hardness tests to measure fracture predictability. Element concentrations derived via pXRF show significant differences between sources, and multivariate predictive models classify geological specimens with 75-80% accuracy. The predictive models identify Naibor Soit as the most likely source for a small sample of three lithic artifacts from Bed II, which supports the idea that this inselberg served as a source of toolstone during the early Pleistocene. Clear patterns in fracture predictability exist within and between both sources and rock types. Fine-grained volcanics show high rebound values (associated with high fracture predictability), while finer-grained metamorphics and coarse-grained gneisses show intermediate and low rebound values, respectively. Artifact data from Bed I and II suggest that fracture predictability played a role in raw material selection at some sites, but other attributes like durability, expediency, and nodule size and shape were more significant.
“…This versatile technique is used at different scales, for reading satellite images, creating terrestrial geological maps, analyzing the lunar surface, and for mining explorations [37][38][39][40]. In archaeology, infrared spectroscopy has been widely used for surveys of aerial or satellite images [41,42] and provenance studies [24,[43][44][45][46][47][48]. All infrared spectra contain diverse information that refers to the various properties of the materials.…”
The study of stone artifacts and their provenance is an important proxy for understanding the entangled relationship between humans and geological resources. In this paper, we explore the potentialities of an interdisciplinary approach combining in situ documentation of tool marks and characterization of stone types using a near infrared (NIR) portable probe. We argue that this protocol is useful for collecting screening data on objects that cannot be moved or sampled. NIR spectra describe textural and molecular features of the materials and can be used to achieve a preliminary characterization of raw materials. We present a case study from the territory of Montescaglioso (Basilicata, near Matera, Italy), where we combined the analysis of a calcarenite (limestone) quarry, in Masseria D’Alessio, which was exploited since the 6th century BC, as well as artifacts of the same chronology from surveys and excavations in the surroundings. The aim was to collect preliminary data about the distribution of the particular calcarenite extracted from the quarry and identify exploitation and trade patterns. The data were processed using multivariate statistics to highlight the relevant spectral information and perform supervised classification of spectral features. Documentation of tool marks and the process of stone working were combined with the spectral signature of the artifacts to link the stone types to the description of their extraction/carving methods.
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